path: "tensorflow.distribute.experimental.coordinator.ClusterCoordinator"
tf_class {
  is_instance: "<class \'tensorflow.python.distribute.coordinator.cluster_coordinator.ClusterCoordinator\'>"
  is_instance: "<type \'object\'>"
  member {
    name: "strategy"
    mtype: "<type \'property\'>"
  }
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'strategy\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "create_per_worker_dataset"
    argspec: "args=[\'self\', \'dataset_fn\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "done"
    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "fetch"
    argspec: "args=[\'self\', \'val\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "join"
    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "schedule"
    argspec: "args=[\'self\', \'fn\', \'args\', \'kwargs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
}
